Hybrid Manager of Monetization Strategy presso Avispa Technology

Manager of Monetization Strategy 15950

• Hourly pay: $45-$55/hr
• Worksite: Leading professional development and networking company (San Francisco Bay Area, CA - Hybrid)
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
• 40 hours/week, 9 Month Assignment

A leading professional networking company seeks a Manager of Monetization Strategy. The successful candidate will help accelerate growth and improve the go-to-market strategy. while working closely with leaders in our sales, marketing, and finance organizations to craft new strategies and commercial offers, steer them through successful deployment, and establish the right measurement and tracking to assess their impact. The company offers a great work environment!

Manager of Monetization Strategy Responsibilities:

• Serve as a monetization strategy expert for our business, leading initiatives from design through to implementation.
• Build analytical models to assess and refine global pricing strategy. 
• Develop and test offerings and frameworks for selling into new channels and segments.
• Serve as a trusted advisor for field sales to assist in structuring and coordinating deals.
• Develop and manage pricing frameworks, governance, and operations to improve decision quality, escalation processes, sales velocity, and customer outcomes.

Manager of Monetization Strategy Qualifications:

• 4+ years of experience in Pricing, Business Analytics, Business Operations, Finance, or Go-To-Market Strategy at a SaaS company or similar experience in an analytical role
• BA/BS degree,
• Experience building and optimizing commercial models for SaaS / Software businesses is preferred.
• Experience engaging and collaborating with senior leaders & cross-functional partners is preferred.
• Experience working with field sales organizations, preferably in structuring or analyzing deals for enterprise SaaS companies is preferred.
• Ability to build reports in CRM, run SQL analyses, and build financial models is preferred.
• Demonstrated analytical and quantitative skills; ability to break down and solve problems through quantitative thinking and analysis is preferred.
• Ability to structure and communicate complex information in a simplified manner is preferred.
• Comfortable with developing creative solutions under ambiguity and uncertainty is preferred.

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